Abstract
Background/ObjectivesThis study explored the views of dermatologists in Australia on the use of Artificial Intelligence (AI) in dermatology.MethodFellows and Trainees of the Australasian College of Dermatologists (ACD) were invited to participate in an anonymous online survey, resulting in a sample of 122 completed surveys (response rate 16.2%).ResultsAlthough 44% have used AI in their dermatology practice, only a minority are using AI regularly for clinical (12%) or administrative purposes (17%). A key barrier is trust, with most (69%) participants either unwilling or unsure about trusting AI for supporting the diagnosis of skin cancer. Participants identified accuracy and information on datasets, limitations, benefits, and the purpose of AI as important for trust. 52% want AI accuracy to be equivalent to or superior to the best dermatologist if it is used for clinical diagnosis. Participants perceived a range of benefits and risks of AI, with key risks around accuracy and divestment of AI to tech companies, and key benefits being reduction of monotonous tasks and improved patient access. Few (10%) are concerned about AI replacing dermatologists even though almost half (47%) expect key aspects of dermatology work will be performed by AI.ConclusionsDermatologists in Australia are at an early stage of integrating AI into practice, with most wary or unsure about the accuracy of currently available AI tools for diagnostic purposes. Developing workflows that are acceptable to clinicians may require knowledge outreach from Dermatology Colleges, such as the ACD, to help clinicians develop well informed views on AI.
| Original language | English |
|---|---|
| Pages (from-to) | e279-e286 |
| Number of pages | 8 |
| Journal | Australasian Journal of Dermatology |
| Volume | 66 |
| Issue number | 5 |
| Early online date | 14 May 2025 |
| DOIs | |
| Publication status | Published - Aug 2025 |
Funding
| Funders | Funder number |
|---|---|
| NHMRC National Health and Medical Research Council | 2009923 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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